S. V. Yendiyarov
Adaptive Dynamic Time Warping for Variable Structure Pattern Recognition
1352 - 1356
2013
7
10
International Journal of Mechanical and Industrial Engineering
https://publications.waset.org/pdf/17207
https://publications.waset.org/vol/82
World Academy of Science, Engineering and Technology
Pattern discovery from time series is of fundamental importance. Particularly, when information about the structure of a pattern is not complete, an algorithm to discover specific patterns or shapes automatically from the time series data is necessary. The dynamic time warping is a technique that allows local flexibility in aligning time series. Because of this, it is widely used in many fields such as science, medicine, industry, finance and others. However, a major problem of the dynamic time warping is that it is not able to work with structural changes of a pattern. This problem arises when the structure is influenced by noise, which is a common thing in practice for almost every application. This paper addresses this problem by means of developing a novel technique called adaptive dynamic time warping.
Open Science Index 82, 2013